Results 31 to 40 of about 10,387 (161)
Computing continuous dynamic time warping of time series in polynomial time
Dynamic Time Warping is arguably the most popular similarity measure for time series, where we define a time series to be a one-dimensional polygonal curve.
Kevin Buchin +2 more
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Multi-modal gesture recognition with voting-based dynamic time warping
Gesture recognition has remained a challenging problem in the fields of human robot interaction. With the development of depth sensors such as Kinect, different modalities become available for gesture recognition while its advantages have not been fully ...
Yiqun Kuang +4 more
doaj +1 more source
Pairwise dynamic time warping for event data [PDF]
We introduce a new version of dynamic time warping for samples of observed event times that are modeled as time-warped intensity processes. Our approach is devel- oped within a framework where for each experimental unit or subject in a sample, one observes a random number of event times or random locations.
Ana Arribas-Gil, Hans-Georg Müller
openaire +3 more sources
KOPYOR COCONUT DETECTION USING SOUND-BASED DYNAMIC TIME WARPING METHOD
Kopyor coconut is a coconut that has genetic abnormalities which cause the coconut meat to have a unique texture and is detached from the coconut shell.
Radon Dhelika +3 more
doaj +1 more source
Dynamic time warping (DTW) is a widely used metric for comparing time series data, offering elasticity in alignment. While the original DTW allows infinite elasticity without penalty, the wDTW imposes a constant penalty regardless of elastic length.
Sung-Hyuk Cha, Teryn Cha, Teja Vuppu
doaj +1 more source
Subsequence Join in Streaming Time Series under Dynamic Time Warping
Subsequence join in time series is to search for couples of similar subsequences from multiple time series. The task is useful in data mining on time series; nevertheless, it is extremely difficult because of its enormous computational cost.
Bui Cong Giao, Duong Tuan Anh
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A Closed-loop Detection Algorithm Based on Dynamic Time Warping
In the research of closed-loop detection, algorithms based on single image matching are drawing great research interests. However, in dynamic environment, such algorithms can not meet the requirements of dynamic detection.Considering that a single image ...
ZHU Tian +5 more
doaj
Efficient search of the best warping window for Dynamic Time Warping [PDF]
Time series classification maps time series to labels. The nearest neighbor algorithm (NN) using the Dynamic Time Warping (DTW) similarity measure is a leading algorithm for this task and a component of the current best ensemble classifiers for time series.
Chang Wei Tan +4 more
openaire +1 more source
Pronunciation Scoring With Goodness of Pronunciation and Dynamic Time Warping
The current pronunciation scoring based on Goodness of Pronunciation (GOP) uses posterior probabilities of the Acoustic Models. Such algorithms suffer from generalization since they are utilized to determine a score metric for each phoneme rather than on
Kavita Sheoran +8 more
doaj +1 more source
Correlation Based Dynamic Time Warping for ECG Waveform
Electrocardiogram waveform delineation is a fundamental task for quantitative cardiac analysis, yet accurate and consistent estimation of waveform boundaries remains challenging due to heart rate variability, inter-subject morphological differences, and ...
Ruri Lee +3 more
doaj +1 more source

